Customer Solutions Engineer (AI Agents)

About Our Client

Our client is a fast-growing Series B AI startup building a highly configurable, self-hosted voice AI platform. Their customers operate in regulated, high-stakes environments (financial services, healthcare, insurance), where reliability, control, and real outcomes matter.

Their platform allows teams to design sophisticated AI agents using conversational workflows, prompts, and lightweight code — without relying on third-party model APIs. Customers use it to automate complex, real-world interactions at scale.

Why This Role Exists

Every customer problem is different. The data, workflows, and goals vary widely — and there’s no playbook.

Our client is hiring Customer Solutions Engineers to work directly with customers to turn fuzzy requirements into reliable, production-grade AI agents that drive measurable business impact. This is a hands-on role focused on building inside the platform rather than shipping traditional application code.

What You’ll Do

• Design and build conversational workflows using a no-code / low-code AI platform
• Write, test, and iterate on prompts that drive consistent agent behavior
• Introduce determinism using variables, control flow, and lightweight scripting
• Translate ambiguous customer needs into concrete, measurable outcomes
• Optimize agent performance against real KPIs (conversion, resolution, deflection)
• Partner directly with customer stakeholders to deploy, refine, and scale solutions
• Turn successful patterns into reusable playbooks and best practices

What This Role Is (and Isn’t)

This role is:

• Highly hands-on and customer-facing
• Focused on systems thinking, iteration, and outcomes
• Centered on prompt design, workflows, and problem-solving

This role is not:

• A traditional full-stack or backend engineering role
• Heavy infrastructure or production service ownership
• Primarily debugging logs or maintaining legacy systems

What We’re Looking For

• Experience automating workflows, building systems, or shipping technical solutions
• Comfort operating in ambiguity and owning problems end-to-end
• Strong written communication and command of language
• Outcome-oriented thinking (inputs → outputs → metrics)
• Technical fluency (scripting, APIs, logic), even without a formal SWE background
• Fast learner with high ownership and bias to action

Nice to Have

• Experience with LLMs, prompts, or agent-based systems
• Background in solutions engineering, customer engineering, or technical ops
• Startup or founder experience
• Exposure to regulated industries or complex business workflows

Who Will Thrives in this Role

• Early-career builders with high ownership
• People who enjoy figuring things out without a playbook

Exceptional new grads with strong learning velocity are welcome.